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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shinde S. M.

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Open access Aug 2026

An FKF–AI–Digital Twin Framework for Intelligent Supply-Chain Management

Next-generation supply chains can be viewed as distributed, partially observed stochastic systems where demand, lead times, quality, custody, energy conditions, and disruptions are revealed with delay and may be distorted across organizational boundaries. The supplied mathematical manuscript establishes a distributiona...

Shinde S. M., S. S, A. G · 0 citations
Open access Aug 2026

Integrating FKF Spectral Analysis, Artificial Intelligence, and Digital Twins for Supply-Chain Resilience

This study proposes a distributional FKF spectral framework for intelligent and resilient supply-chain systems. Modern supply chains generate delayed, heterogeneous, and partially observed signals involving demand, lead times, quality, custody, energy state, and disruptions. The framework combines Fourier temporal anal...

Shinde S. M., S. S, A. G · 0 citations
Open access Aug 2026

Distributional FKF Transform for Spectral Modeling of Complex Supply Chain Dynamics

This study proposes a convergent framework integrating AI, Blockchain, IoT, Digital Twins, quantum computing, and FKF spectral analysis for sustainable and resilient supply chains. AI supports prediction and optimization, Blockchain improves transparency and traceability, IoT enables real-time sensing, and Digital Twin...

Kanade U. V., Shinde S. M., H. M. · 0 citations
Review Open access Aug 2026

Multi-Scale Supply-Chain Intelligence through AI, FKF Spectral Analysis, and Quantum Optimization

Global supply chains now fail in coupled ways: demand shocks travel with lead-time resonance, cyber events travel with physical delays, and energy-system constraints travel with freight capacity. Artificial intelligence is widely proposed as the instrument that turns those couplings into forecasts and then into mitigat...

S. S, Shinde S. M. · 0 citations
Open access Aug 2026

An Integrated AI–FKF Framework for Multi-Scale Supply-Chain Risk Prediction and Mitigation

This study develops an integrated framework for AI-driven supply-chain risk prediction and mitigation by combining artificial intelligence, IoT, digital twins, blockchain, intelligent transportation systems, FKF/FKL spectral analysis, and quantum optimization.

S. S, Shinde S. M. · 0 citations
Open access Aug 2026

Toward Intelligent Supply-Chain Resilience: An AI-Driven Framework for Risk Prediction and Mitigation

A conceptual AI-enabled PREDICT–MITIGATE framework integrating machine learning, IoT sensing, digital twins, blockchain traceability, intelligent transportation, FKF/FKL spectral methods, green logistics, and quantum logistics optimization is proposed.

S. S, Shinde S. M. · 0 citations
Open access Aug 2026

Digital Twin–Driven Supply Chain Resilience Through Fourier–Kontorovich–Lebedev Spectral Analysis

A convergent supply-chain architecture is proposed by integrating Digital Twins with Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), quantum computing, and FKF spectral analysis to address the growing complexity, uncertainty, and disruption risks in modern logistics. Digital Twins enable real-time v...

S. A., Shinde S. M., H. M. · 0 citations
Open access Aug 2026

FKF Transform Based Multi-Scale Analysis and Digital Twin–Enabled Supply-Chain Resilience

Future work must prioritize real-time fusion of connected-vehicle and smart-infrastructure data streams, construction of scalable multi-resolution Digital Twin environments that span both supply chains and urban mobility networks, development of trustworthy AI models for predictive and prescriptive control, and computa...

S. A., Shinde S. M., H. M. · 0 citations

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